r jobs in San Diego

Director of Software Engineering for the Healthcare Workforce Intelligence (HWI) platform at AMN Healthcare, responsible for leading and developing a multi-disciplined engineering team. Oversees the technology roadmap for the Vendor Management Systems software, drives efficient development workflows using Agile/Kanban/Waterfall methodologies, and ensures quality goals are met.…See more Participates in all aspects of the SDLC including requirements analysis, technical design, development, testing, deployment, and production support. Manages legacy system modernization, vendor relationships, and on-call support escalations.

The Data Specialist (Data Analytics Developer II) will organize, clean, transform, and integrate student data from multiple sources into reliable datasets for SDSU's Program Evaluation, Compliance, and Assessment department. The role requires proficiency in Python and/or R with SQL and database knowledge, data modeling, statistical methods, and experience building data visualizations and dashboards.…See more The person will work with complex datasets supporting student affairs initiatives, collaborating with stakeholders across campus to strengthen data strategy and drive continuous improvement in student services.

This is a Data Analytics Developer II role within SDSU's Program Evaluation, Compliance, and Assessment (PECA) department, responsible for organizing, cleaning, transforming, and integrating student data from multiple sources into reliable datasets. The position requires proficiency in Python and/or R with SQL familiarity, strong knowledge of data structures, data modeling, statistical methods, and data quality practices.…See more You will create data visualizations and dashboards, work with complex datasets with high accuracy, and communicate findings to stakeholders with varying technical backgrounds to support data-informed decision-making across student affairs.

Join Amazon Private Brands' Selection Guidance team as a Data Scientist II to develop generative AI, machine learning, and statistical solutions for product assortment and business decisions. You will investigate business problems, invent novel solutions and prototypes, and guide other scientists on their designs and implementations.…See more Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You'll partner with business stakeholders, perform data analysis and build pipelines, deploy production software, and publish research across Amazon.

As a Data Scientist II, you will partner with business stakeholders to frame and solve private brands product assortment and pricing problems using generative AI, machine learning, and statistical modeling. You'll investigate business problems using data, invent novel solutions and prototypes, and deploy production software while reviewing and guiding science solutions across the team.…See more The role requires strong expertise in data querying, machine learning, statistical modeling, and the ability to communicate complex concepts and publish research both internally and externally.

Lead a team of data scientists at Insulet's Analytics Center of Excellence, managing the execution of global analytics and AI initiatives while maintaining hands-on expertise in data science work. You will mentor scientists, guide development of cloud-based analytics pipelines and automated machine learning solutions, and coordinate with cross-functional stakeholders across R&D, clinical, quality, and manufacturing to identify and deliver high-value data science opportunities.…See more The role requires a Master's degree with 5+ years in data science (or PhD with 3+), 2+ years in machine learning/AI, direct team management experience, and proficiency in Python/R, SQL, cloud platforms (Azure/AWS/GCP), and big data technologies like Spark/Databricks. You'll perform statistical analysis, predictive modeling, and communicate insights to executives while owning the data products portfolio and managing annual budgets.

The Data Scientist will support early-stage pharmaceutical programs by compiling, harmonizing, and ingesting omics datasets (RNA-Seq, DNA-Seq, scRNA-Seq, copy number) from multiple internal and external sources. The role requires developing automated scripts for dataset harmonization, loading formatted data into a proprietary interface, and performing quality control assessments.…See more The candidate must have strong coding skills in R and/or Python, bioinformatics experience, and a background working with NGS data.

As a Staff Machine Learning Engineer focused on model optimization, you will create and implement ML techniques, frameworks, and tools enabling efficient discovery and deployment of state-of-the-art ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized inference/training software and compiler tools, and collaborate with cross-functional teams on joint hardware-software design.…See more The role requires 4+ years of hardware/software/systems engineering experience (or equivalent with advanced degree), deep expertise in ML frameworks (TensorFlow, PyTorch, Keras, Caffe), embedded systems optimization, and programming languages like Python or C++. You will work independently with minimal supervision, provide technical guidance to team members, and influence key organizational decisions through consultation with senior leadership.

The Data Analyst will create reports, visualizations, dashboards, and metrics to support business decision-making across multiple internal teams and business units. Responsibilities include developing business intelligence solutions, gathering and analyzing data, building PowerBI dashboards, using SQL and Python for quantitative analysis, and collaborating with stakeholders to identify trends and deliver actionable insights.…See more The role requires detail-oriented work spanning finance, accounting, and budgeting domains, with experience in regulated utility, energy, DOE, or DOD environments preferred. A master's degree in data analytics, data science, or equivalent field is required.

Staff Quality Analyst role responsible for building dashboards and analytics that surface defect signals and drive leadership decision-making at scale. The role combines hands-on data analysis (SQL, Python, statistics) with AI-native workflows to accelerate defect detection and root cause analysis, plus structured change management to land measurement and process changes across large stakeholder groups.…See more Required skills include strong SQL/Python proficiency, applied statistics, experience with defect frameworks (DPMO), contact center operations familiarity, and demonstrated ability to communicate data findings credibly to executives and manage organizational change.

Sr. Research Associate will design and execute design-of-experiments (DOEs) to optimize surface chemistry processes for in vitro diagnostic systems, transitioning formulations from R&D through pilot scale-up and manufacturing under GMP/FDA design control.…See more The role requires hands-on expertise in fluorescence imaging/spectroscopy, microfluidics, molecular biology techniques (nucleic acid extraction, PCR, amplification), and consumable characterization—including test method design, acceptance criteria definition, and root-cause analysis. The candidate will author technical documentation (protocols, batch records, DHF submissions), collaborate cross-functionally with assay development, reagent chemistry, device engineering, manufacturing, and quality/regulatory teams, and support FDA submissions (510(k)/PMA, CE-IVDR). Strong systematic troubleshooting, laboratory skills, and ability to present data to leadership are essential.

Build and maintain computational pipelines for sequence analysis and genotyping in HPC and cloud environments, using tools like PLINK, GATK, and BEAGLE. Perform quality control on data inputs and outputs, document work meticulously, and develop new pipelines under supervision by selecting and testing computational approaches.…See more Requires expertise in Bash scripting, bioinformatics software, Linux, cloud platforms (AWS EC2, All of Us Research workbench), and programming languages (R, Python), plus strong written and verbal communication skills.

Join Booz Allen's competitive Summer Games internship program as a software developer intern, working in teams to solve complex, real-world challenges for government customers. You'll apply programming skills in Java, JavaScript, C, C++, Python, or similar languages alongside machine learning, data mining, or graph algorithms to develop breakthrough solutions.…See more The program includes mentorship from senior leaders, technical documentation and design artifact creation, and culminates in a final Challenge Cup competition and presentation. You must be scheduled to graduate with a Bachelor's degree in Technology, Engineering, or Mathematics by Summer 2028 or 2029, and be able to obtain a Secret clearance.

Join an innovative summer internship program where you'll work in teams on real-world technical challenges for government and commercial clients. You'll apply programming skills (Java, JavaScript, C, C++, Python, etc.) and experience with machine learning, data mining, or graph algorithms to develop software solutions, produce technical documentation, and present findings to senior leadership.…See more The program simulates a startup accelerator environment with mentorship, collaboration, and a final competition-style presentation.

Join Booz Allen's competitive Summer Games internship program as a software developer, working in teams to solve complex, real-world problems for government and commercial customers. You'll apply programming skills (Java, JavaScript, C, C++, Python, etc.) and experience with machine learning, data mining, or algorithms to develop breakthrough solutions, produce technical documentation, and present your work to senior leadership.…See more The program simulates a startup accelerator environment with mentorship, collaboration, and culminates in a Challenge Cup competition.

As an AI Performance Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, optimize software for AI model deployment on hardware (kernels, compilers, model efficiency tools), and develop ML techniques into products.…See more You will conduct experiments to train and evaluate ML models, work independently with minimal supervision, and provide technical guidance to team members. The role requires 4+ years of hardware/software/systems engineering experience, proficiency with ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages suited for ML (Python, C++, R).

As an LLM Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized software for AI model deployment (kernels, compilers, model efficiency tools), and lead ML technique application into products.…See more You will work independently with minimal supervision while providing technical guidance to team members and collaborating across cross-functional teams on joint hardware-software design.

As a Machine Learning Engineer at Qualcomm, you will develop and optimize machine learning frameworks, tools, and algorithms for deployment across mobile, edge, automotive, and IoT products. You will collaborate with cross-functional teams to design hardware-software co-optimized solutions, build efficient inference and training systems, and create ML kernels and compiler tools.…See more The role requires proficiency in ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages like Python or C++, with experience in problem domains such as NLP or multimedia.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Implement IoT integrations, digital lab twins, telemetry systems, and maintain integrations across automation schedulers, LIMS, and data platforms using DevOps best practices and cloud solutions. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience (or equivalent M.S./B.S. with 10+/13+ years respectively), strong proficiency in Python, SQL, and JavaScript, and experience with lab digitalization and autonomous systems.

This role develops and maintains data integration solutions at Constellation Energy, focusing on ETL processes, data modeling, and analytics platforms. The developer will extract, integrate, and transform data from diverse sources using SSIS, SQL Server, Power BI, and APIs; design and optimize relational and dimensional databases; and participate in DevOps/CI/CD workflows.…See more The position requires 3+ years of hands-on experience with Power BI, DAX, T-SQL, SSIS, API development, and SQL query optimization, along with a technical degree or equivalent.

Enterprise Data & Analytics Architect responsible for designing and developing SQL Server databases, data warehouses, and ETL pipelines using SSIS/Azure Data Factory. The role requires 8–10 years of experience in OLAP/OLTP environments, expert SQL Server knowledge, and proficiency in enterprise reporting (SSRS, Power BI).…See more Candidates will oversee data engineering, BI development, and data science initiatives; mentor developers; and maintain compliance with company policies and federal regulations.

Senior Business Intelligence Analyst responsible for responding to business inquiries and delivering data-driven insights to stakeholders. The role involves developing and maintaining advanced dashboards using tools like Tableau and Domo, manipulating data with SQL/Python/R, and collaborating across departments to translate business requirements into analytical solutions.…See more Requires 4+ years of BI experience, expertise in SQL, proficiency with cloud data platforms (Snowflake, AWS), and strong communication skills to tell data stories and drive business decisions.

As a Data Engineer at Booz Allen Hamilton, you will develop and deploy data pipelines and platforms that organize disparate data sources to yield actionable insights for mission-critical applications. You'll work with Python, SQL, or similar languages to build ETL operations, manage relational and non-relational databases, and support analytics workloads on cloud platforms.…See more The role requires 1+ years of data engineering, ETL, or pipeline development experience, proficiency with source control (GitHub/Atlassian), and Linux/Windows scripting. You'll collaborate with analysts, developers, and data scientists in an agile environment to design, develop, and maintain scalable data solutions.

Junior Business Analyst role focused on leveraging data analytics, visualization, and business intelligence tools to support analytics processes for a business function. The role requires 2+ years of professional data experience, proficiency with data visualization platforms (Tableau, Qlik, or Power BI), and knowledge of business analysis or BI approaches.…See more Work under direct supervision on routine, limited-scope problems; the position is based in San Diego, CA and requires the ability to obtain a Secret clearance.

Enterprise Data & Analytics Architect responsible for designing and maintaining SQL Server databases, developing ETL pipelines using SSIS or Azure Data Factory, and creating enterprise reporting solutions with SSRS and Power BI. The role requires 8+ years of database engineering in OLAP/OLTP environments, expert SQL Server knowledge, and experience migrating processes to Azure.…See more Candidates will oversee documentation, mentor developers, and stay current with data engineering, BI, and cloud computing trends while ensuring compliance with company and federal regulations.